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Characterization of polar lipids of Listeria monocytogenes by HCD and low-energy CAD linear ion-trap mass spectrometry with electrospray ionization

Overview of attention for article published in Analytical & Bioanalytical Chemistry, February 2015
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Title
Characterization of polar lipids of Listeria monocytogenes by HCD and low-energy CAD linear ion-trap mass spectrometry with electrospray ionization
Published in
Analytical & Bioanalytical Chemistry, February 2015
DOI 10.1007/s00216-015-8480-1
Pubmed ID
Authors

Raju V. V. Tatituri, Benjamin J. Wolf, Michael B. Brenner, John Turk, Fong-Fu Hsu

Abstract

Listeria monocytogenes (L. monocytogenes) is a facultative, Gram-positive, food-borne bacterium, which causes serious infections. Although it is known that lipids play important roles in the survival of Listeria, the detailed structures of these lipids have not been established. In this contribution, we described linear ion-trap multiple-stage mass spectrometric approaches with high-resolution mass spectrometry toward complete structural analysis including the identities of the fatty acid substituents and their position on the glycerol backbone of the polar lipids, mainly phosphatidylglycerol, cardiolipin (CL), and lysyl-CL from L. monocytogenes. The location of the methyl side group along the fatty acid chain in each lipid family was characterized by a charge-switch strategy. This is achieved by first alkaline hydrolysis to release the fatty acid substituents, followed by tandem mass spectrometry on their N-(4-aminomethylphenyl) pyridinium (AMPP) derivatives as the M+ ions. Several findings in this study are unique: (1) we confirm the presence of a plasmalogen PG family that has not been previous reported; (2) an ion arising from a rare internal loss of lysylglycerol residue was observed in the MS(2) spectrum of lysyl-CL, permitting its distinction from other CL subfamilies.

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Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 16%
Student > Ph. D. Student 4 16%
Student > Bachelor 3 12%
Professor 3 12%
Student > Master 3 12%
Other 3 12%
Unknown 5 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 32%
Chemistry 5 20%
Biochemistry, Genetics and Molecular Biology 3 12%
Immunology and Microbiology 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 0 0%
Unknown 7 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 February 2015.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,542
of 9,619 outputs
Outputs of similar age
#308,980
of 360,806 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#111
of 130 outputs
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